We design and build AI-powered platforms for startups and enterprises across India and the United States — chat assistants trained on your data, document and lead automation, recommendation engines and forecasting dashboards. Built on OpenAI, Anthropic and open-source models, hosted in your region, delivered by one team from scope to launch.
Trained on your documents, FAQs and product data. Deployed on your website, WhatsApp, Slack or inside your app — with guardrails so it stays on topic.
Invoices, forms, emails and enquiries read, classified and routed automatically. Hours of manual work removed every week.
Product, content and next-best-action recommendations built on your own behavioural data.
Dashboards that answer questions in plain language, with demand and revenue forecasting on top.
Search across your knowledge base, meeting summaries, report generation — the unglamorous tools that save the most time.
OpenAI, Anthropic, Gemini and open-source models (Llama, Mistral). Fine-tuned where it helps, RAG where it doesn't.
Free, 30 minutes. We understand the workflow, the data you have and the outcome you need.
What we will build, what it will cost in INR or USD, and what AI will genuinely change — and what it will not.
Working software every two weeks, on a staging link you can click. No black box.
Deployed in your region, monitored, and tuned on real usage for the first month.
If a plain workflow tool would serve you better than an LLM, we say so. Our reputation is worth more than one project.
Hosted in India or the US, encrypted, NDA before we see anything. Nothing is used to train anyone else's model.
Engineers, designers and AI specialists on the same call. The person who scopes it also ships it.
It depends on scope. A chat assistant on your own documents typically starts around ₹1.5–3 lakh (USD 2,000–4,000). A full AI platform with automation and dashboards is scoped after a free discovery call, with a written quote in INR or USD within 5 days and milestone-based payments.
OpenAI (GPT), Anthropic (Claude), Google Gemini and open-source models like Llama and Mistral. We pick per use case — cost, accuracy, data residency — and can host open models privately in your region.
Yes. We overlap with US business hours, sign an NDA up front, bill in USD, and run the project on Slack or email. The time-zone gap means you brief us in the evening and see progress the next morning.
A chat assistant or document automation tool: 3–6 weeks. A full platform: 2–4 months, delivered in two-week sprints so you see working software throughout.
nest-data.json.